AI Analysis in XRD - Basic Course

A vision-transformer approach to powder XRD phase identification improves accuracy for complex materials by analyzing full diffraction profiles, especially when overlapping peaks or poor crystallinity limit conventional search/match methods.

Basis profile decomposition separates mixed powder XRD patterns into estimated component profiles, enabling quantitative analysis when pure references, database matches, or crystal structures are unavailable.

Deep-learning denoising improves X-ray CT image quality and quantitative analysis accuracy, enabling much shorter scans for battery inspection and plastic-part analysis while maintaining results comparable to longer acquisitions.